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The impact of the integrative role of the Business Intelligence system and Knowledge Conversion Processes in Building a learning organization A field research in Korek telecom company in Baghdad city
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Purpose:  The research aims to explore the impact Business Intelligence System (BIS) and Knowledge Conversion Processes (KCP) in the Building Learning Organization (LO) in KOREK Telecom Company in Baghdad city.

Design/methodology/approach: in order to achieve the objectives of the research has been the development of a questionnaire prepared for this purpose and then has tested the search in the telecommunications sector, representatives of one of the telecommunications companies in Baghdad city, has therefore chosen KOREK Telecom company as a sample for research, and the choice was based on the best standard international companies to serve mobile communications in terms of leadership and services quality in the telecommunications market, on the basis of the scheme the default search, which takes into account the nature and dimensions of the relations between the BIS variables represented by (data sources, data integration technology, data storage technology (data warehouse), data analysis technology, and data display presenting technology) and knowledge management, represented by KCP which includes (socialization, externalization, combination, and internalization) in Building a learning organization which includes (leadership, learning, strategy, and change) in telecommunications companies in Baghdad city, and guided by this scheme sought research to four hypotheses president concerning relations link and relationships influence between research variables tested in order to answer questions on the problem of search and access to the objectives set, so it has been tested using some statistical methods, namely: (mean, standard deviation, percentages, Kolmogorov-Smirnov test, Multicollinearity,  Bivariate Pearson Correlation, multiple regression analysis, and path analysis). In the field side it has lost the use of a sample consisting of (37) individuals to answer paragraphs of resolution.

Findings:  The results showed that socialization, combination, and internalization have a significant impact in building LO, has been Socialization the element of most influential and with the greatest impact in LO, and although it was found that externalization does not have a statistical impact in LO. While it appeared that the data analysis technology is the greatest impact in the building LO, while found to data sources variable that a significant effect of weak statistical standpoint in the building LO. It turns out that the KCP important role in increasing the impact of BIS to building LO, and this guide on the availability of BIS in Korek Telecom company While it affects the strengthening of the trend towards the achievement of LO.

Practical Implications: The current research provides guidance to the leaders of the telecommunications sector in addressing the challenge of knowing the level of application of BIS and the level of KCP, in the building of LO in the framework of the integration of BIS and KCP.

Originality/ Value: The current research is one of the few research that has examined the relationship between BIS and KCP and LO, at a time of extensive research touched upon knowledge management processes (KMP) and LO. or BIS and KM

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Publication Date
Fri Jun 30 2017
Journal Name
Journal Of Engineering
Adsorption of Mefenamic Acid From Water by Bentonite Poly urea formaldehyde Composite Adsorbent
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Poly urea formaldehyde –Bentonite (PUF-Bentonite) composite was tested as new adsorbent
for removal of mefenamic acid (MA) from simulated wastewater in batch adsorption
procedure. Developed a method for preparing poly urea formaldehyde gel in basic media by
using condensation polymerization. Adsorption experiments were carried out as a function of
water pH, temperature, contact time, adsorbent dose and initial MA concentration .Effect of
sharing surface with other analgesic pharmaceuticals at different pH also studied. The
adsorption of MA was found to be strongly dependent to pH. The Freundlich isotherm model
showed a good fit to the equilibrium adsorption data. From Dubinin–Radushkevich model the
mean free

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Publication Date
Wed Feb 08 2023
Journal Name
Iraqi Journal Of Science
Bioactive Effect of Cinnamomum zealynicum bark Extracts on Some Locally Isolated Pathogenic Bacteria
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A series of experiments were conducted to evaluate the antibacterial effect of Cinnamomum zealynicum bark aqueous , methanol, and chloroform extracts against some gram positive and gram negative pathogenic bacteria which isolated from wound, throat infection, urine and stool during the period from December /2013 to February /2014 from Alkarama hospital in Wasit. All these isolates were identified by using VITEK2 compact system. Antibiotic sensitivity test of the bacterial isolates was determined for ten antibiotics. Chemical analysis showed that Cinnamomum zeylanicum bark extracts contained different active compounds (phenoles, alkaloids, tannins, glycosides, coumarins, saponins, resins flavones and essential oil). The laboratory tests o

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Publication Date
Tue Dec 31 2013
Journal Name
Al-khwarizmi Engineering Journal
Enhancement of Iraqi Light Naphtha Octane Number Using Pt Supported HMOR Zeolite Catalyst
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The hydroconversion of Iraqi light straight run naphtha was studied on zeolite catalyst. 0.3wt.%Pt/HMOR catalyst was prepared locally and used in the present work. The hydroconversion performed on a continuous fixed-bed laboratory reaction unit. Experiments were performed in the temperature range of 200 to 350°C, pressure range of 3 to 15 bars, LHSV range of 0.5-2.5h-1, and the hydrogen to naphtha ratio of 300.

The results show that the hydroconversion of Iraqi light straight naphtha increases with increase in reaction temperature and decreases with increase in LHSV.

High octane number isomers were formed at low temperature of 240°C. The selectivity of hydroisomerization improved by increasing reaction pressu

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Publication Date
Mon May 11 2020
Journal Name
Baghdad Science Journal
Proposing Robust LAD-Atan Penalty of Regression Model Estimation for High Dimensional Data
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         The issue of penalized regression model has received considerable critical attention to variable selection. It plays an essential role in dealing with high dimensional data. Arctangent denoted by the Atan penalty has been used in both estimation and variable selection as an efficient method recently. However, the Atan penalty is very sensitive to outliers in response to variables or heavy-tailed error distribution. While the least absolute deviation is a good method to get robustness in regression estimation. The specific objective of this research is to propose a robust Atan estimator from combining these two ideas at once. Simulation experiments and real data applications show that the p

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Publication Date
Sat Oct 01 2011
Journal Name
Journal Of Engineering
THERMAL BUCKLING OF RECTANGULAR PLATES WITH DIFFERENT TEMPERATURE DISTRIBUTION USING STRAIN ENERGY METHOD
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By using governing differential equation and the Rayleigh-Ritz method of minimizing the total potential energy of a thermoelastic structural system of isotropic thermoelastic thin plates, thermal buckling equations were established for rectangular plate with different fixing edge conditions and with different aspect ratio. The strain energy stored in a plate element due to bending, mid-plane thermal force and thermal bending was obtained. Three types of thermal distribution have been considered these are: uniform temperature, linear distribution and non-linear thermal distribution across thickness. It is observed that the buckling strength enhanced considerably by additional clamping of edges. Also, the thermal buckling temperatures and

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Publication Date
Sun Jun 23 2019
Journal Name
Journal Of The College Of Basic Education
Numerical Solution of Non-linear Delay Differential Equations Using Semi Analytic Iterative Method
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Publication Date
Tue Dec 05 2023
Journal Name
Baghdad Science Journal
Antifungal Potential of Cladosporium sp. (Endophytic fungi) Associated with Olea europaea L. Leaves
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In the leaves of Olea europaea L. Olive trees an endophytic fungus was discovered. Cladosporium sp. was identified to be the fungus based on its morphological characteristics and nuclear ribosomal DNA ITS sequence analysis and was registered in NCBI as the Cladosporium genus has been registered under the number (0P939922.1) The species was not specified, and it was considered of unknown species after comparing it to global isolates. In comparison to olive leaf extract, Cladosporium sp. including total flavonoid, total phenolic, total terpenoid, and total saponins, Which were 121.9%, 198.1%, 89.13%, and 29.87 % respectively compared to its content in olive leaf extract, which was 61.54 %, 67.88 % , 17.1

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Publication Date
Sat Apr 15 2023
Journal Name
Iraqi Journal Of Science
Real-Time PCR Detection of Respiratory Syncytial virus (RSV) among Adults with Pneumonia
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This study aimed to confirm the presence of RSV using real-time PCR in nasal
and throat swabs which had no visible cytopathic effect in tissue culture technique
from adults of moderate-to-severe pneumonia with influenza-like illness. Results of
real-time RT-PCR found that viral RNA in 11.63% (5/43) of adult with pneumonia
and flu-like illness symptoms. A significant incidence of RSV infection in Dec. and
Jan. 2014 was appeared among patients aged more than 45 years. The results
showed that viral load significantly associated with disease severity. In conclusion,
multiplex RT-PCR is recommended to diagnose RSV and influenza viruses in
winter season in older patients with pneumonia and can decrease sever illness in

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Publication Date
Wed Feb 01 2023
Journal Name
International Journal Of Electrical And Computer Engineering (ijece)
Classification of COVID-19 from CT chest images using Convolutional Wavelet Neural Network
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<p>Analyzing X-rays and computed tomography-scan (CT scan) images using a convolutional neural network (CNN) method is a very interesting subject, especially after coronavirus disease 2019 (COVID-19) pandemic. In this paper, a study is made on 423 patients’ CT scan images from Al-Kadhimiya (Madenat Al Emammain Al Kadhmain) hospital in Baghdad, Iraq, to diagnose if they have COVID or not using CNN. The total data being tested has 15000 CT-scan images chosen in a specific way to give a correct diagnosis. The activation function used in this research is the wavelet function, which differs from CNN activation functions. The convolutional wavelet neural network (CWNN) model proposed in this paper is compared with regular convol

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Publication Date
Wed Sep 01 2021
Journal Name
Iop Conference Series: Earth And Environmental Science
Time Dependent Behavior of Engineered Cementitious Composite Concrete Produced from Portland Limestone Cement
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